Reproducibility
topic on 2 shows · 4 statements across 2 episodes
the MAD Podcast 
the a16z Podcast
4 statements about Reproducibility, every show
Vijay Pandey: Biological research faces a severe reproducibility crisis
“So what makes us better is not just the fact that it's cheaper, but there's a huge disaster and, you know, real challenge in biology right now for reproducibility, that many biology experiments are just not reproducible.”
Pandey: Cloud biology solves reproducibility by turning experiments into code
“But the beautiful thing about a cloud biology-like setup is that since it's programming on robots, you have the best chance for reproducibility, that rerunning the experiment is rerunning the code.”
Elprin: True data science reproducibility requires code, data, results, and environment
“What we've learned is that for this kind of work, this advanced analytics quantitative research work, reproducibility is more than just, hey, we have a snapshot of the code. You know, like, that's, you know, it's great for software engineering. GitHub does tha…”
Elprin: Regulatory compliance drives enterprise demand for data science reproducibility tools
“One of the really interesting things about reproducibility we've learned is that it's been extremely resonant in industries where there are regulatory and compliance concerns, and we're sort of seeing that more and more, especially in financial services, they'…”